Papers
This page provide a (not always) up to date list of my publications. be sure to check my scholar for a more up to date list. All my papers are open access. If you find one paywalled for any reason please let me know and I will send you with a PDF.
13. Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics. pub
Martinuzzi, F.
Chaos: An Interdisciplinary Journal of Nonlinear Science 35 (2025)
12. Artificial Intelligence for Modeling and Understanding Extreme Weather and Climate Events. pub
Camps-Valls, G., Fernández-Torres, M.-Á., Cohrs, K.-H., Höhl, A., Castelletti, A., Pacal, A., Robin, C., Martinuzzi, F., Papoutsis, I., Prapas, I., Pérez-Aracil, J., Weigel, K., Gonzalez-Calabuig, M., Reichstein, M., Rabel, M., Giuliani, M., Mahecha, M. D., Popescu, O.-I., Pellicer-Valero, O. J., Ouala, S., Salcedo-Sanz, S., Sippel, S., Kondylatos, S., Happé, T., and Williams, T.
Nature Communications 16 (2025)
11. Sub-Seasonal Forest Carbon Dynamics Lose Persistence Under Extremes. pub
Williams, T. K. E., Moreno-Martínez, Á., Martinuzzi, F., Mahecha, M. D., and Camps-Valls, G.
Environmental Research Letters 20 (2025)
10. DeepExtremeCubes: Earth System Spatio-Temporal Data for Assessing Compound Heatwave and Drought Impacts. pub
Ji, C., Fincke, T., Benson, V., Camps-Valls, G., Fernández-Torres, M.-Á., Gans, F., Kraemer, G., Martinuzzi, F., Montero, D., Mora, K., Pellicer-Valero, O. J., Robin, C., Söchting, M., Weynants, M., and Mahecha, M. D.
Scientific Data 12 (2025)
9. A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Random Boolean Networks. pub
Glover, T. E., Jahren, R., Martinuzzi, F., Lind, P. G., and Nichele, S.
International Journal of Parallel, Emergent and Distributed Systems 40 (2025)
8. Recurrent Neural Networks for Modelling Gross Primary Production. pub
Montero, D., Mahecha, M. D., Martinuzzi, F., Aybar, C., Klosterhalfen, A., Knohl, A., Koebsch, F., Anaya, J., and Wieneke, S.
IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)
7. Earth System Data Cubes: Avenues for Advancing Earth System Research. pub
Montero, D., Kraemer, G., Anghelea, A., Aybar, C., Brandt, G., Camps-Valls, G., Cremer, F., Flik, I., Gans, F., Habershon, S., Ji, C., Kattenborn, T., Martínez-Ferrer, L., Martinuzzi, F., Reinhardt, M., Söchting, M., Teber, K., and Mahecha, M. D.
Environmental Data Science 3 (2024)
6. Learning Extreme Vegetation Response to Climate Drivers with Recurrent Neural Networks. pub
Martinuzzi, F., Mahecha, M. D., Camps-Valls, G., Montero, D., Williams, T., and Mora, K.
Nonlinear Processes in Geophysics 31 (2024)
5. SpectralIndices.jl: Streamlining Spectral Indices Access and Computation for Earth System Research. pub
Martinuzzi, F., Mahecha, M. D., Montero, D., Alonso, L., and Mora, K.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2024)
4. A Standardized Catalogue of Spectral Indices to Advance the Use of Remote Sensing in Earth System Research. pub
Montero, D., Aybar, C., Mahecha, M. D., Martinuzzi, F., Söchting, M., and Wieneke, S.
Scientific Data 10 (2023)
3. ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. pub
Martinuzzi, F., Rackauckas, C., Abdelrehim, A., Mahecha, M. D., and Mora, K.
Journal of Machine Learning Research 23 (2022)
2. Composing Modeling and Simulation with Machine Learning in Julia. pub
Rackauckas, C., Gwozdz, M., Jain, A., Ma, Y., Martinuzzi, F., Rajput, U., Saba, E., Shah, V. B., Anantharaman, R., Edelman, A., Gowda, S., Pal, A., and Laughman, C.
2022 Annual Modeling and Simulation Conference (ANNSIM) (2022)
1. Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components. pub
Anantharaman, R., Abdelrehim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C., Ma, Y., Shah, V., Edelman, A., and Rackauckas, C.
AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM) (2021)